Dataset statistics
| Number of variables | 9 |
|---|---|
| Number of observations | 891221 |
| Missing cells | 823013 |
| Missing cells (%) | 10.3% |
| Duplicate rows | 80793 |
| Duplicate rows (%) | 9.1% |
| Total size in memory | 107.5 MiB |
| Average record size in memory | 126.4 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 1 |
| Dataset has 80793 (9.1%) duplicate rows | Duplicates |
ANZ_HAUSHALTE_AKTIV is highly correlated with ANZ_HH_TITEL | High correlation |
KBA05_HERSTTEMP is highly correlated with MIN_GEBAEUDEJAHR and 1 other fields | High correlation |
ANZ_HH_TITEL is highly correlated with ANZ_HAUSHALTE_AKTIV | High correlation |
MIN_GEBAEUDEJAHR is highly correlated with KBA05_HERSTTEMP and 1 other fields | High correlation |
KBA05_MODTEMP is highly correlated with KBA05_HERSTTEMP and 1 other fields | High correlation |
ANZ_HAUSHALTE_AKTIV has 93148 (10.5%) missing values | Missing |
ANZ_HH_TITEL has 97008 (10.9%) missing values | Missing |
GEBAEUDETYP has 93148 (10.5%) missing values | Missing |
KBA05_HERSTTEMP has 93148 (10.5%) missing values | Missing |
KBA05_MODTEMP has 93148 (10.5%) missing values | Missing |
KONSUMNAEHE has 73969 (8.3%) missing values | Missing |
MIN_GEBAEUDEJAHR has 93148 (10.5%) missing values | Missing |
OST_WEST_KZ has 93148 (10.5%) missing values | Missing |
WOHNLAGE has 93148 (10.5%) missing values | Missing |
ANZ_HH_TITEL is highly skewed (γ1 = 22.71869357) | Skewed |
ANZ_HH_TITEL has 770244 (86.4%) zeros | Zeros |
Reproduction
| Analysis started | 2021-05-17 07:27:16.351740 |
|---|---|
| Analysis finished | 2021-05-17 07:28:07.622347 |
| Duration | 51.27 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 292 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 93148 |
| Missing (%) | 10.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.287263195 |
| Minimum | 0 |
|---|---|
| Maximum | 595 |
| Zeros | 6463 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 4 |
| Q3 | 9 |
| 95-th percentile | 28 |
| Maximum | 595 |
| Range | 595 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 15.62808702 |
|---|---|
| Coefficient of variation (CV) | 1.885795907 |
| Kurtosis | 142.6179559 |
| Mean | 8.287263195 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 8.779951735 |
| Sum | 6613841 |
| Variance | 244.2371038 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 195957 | |
| 2 | 120982 | |
| 3 | 62575 | 7.0% |
| 4 | 43213 | 4.8% |
| 5 | 37815 | 4.2% |
| 6 | 36020 | 4.0% |
| 7 | 34526 | 3.9% |
| 8 | 32293 | 3.6% |
| 9 | 29002 | 3.3% |
| 10 | 25428 | 2.9% |
| Other values (282) | 180262 | |
| (Missing) | 93148 |
| Value | Count | Frequency (%) |
| 0 | 6463 | 0.7% |
| 1 | 195957 | |
| 2 | 120982 | |
| 3 | 62575 | 7.0% |
| 4 | 43213 | 4.8% |
| 5 | 37815 | 4.2% |
| 6 | 36020 | 4.0% |
| 7 | 34526 | 3.9% |
| 8 | 32293 | 3.6% |
| 9 | 29002 | 3.3% |
| Value | Count | Frequency (%) |
| 595 | 8 | |
| 536 | 1 | < 0.1% |
| 523 | 4 | |
| 515 | 4 | |
| 445 | 7 | |
| 438 | 9 | |
| 430 | 6 | |
| 414 | 3 | < 0.1% |
| 404 | 2 | < 0.1% |
| 395 | 3 | < 0.1% |
| Distinct | 21 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 97008 |
| Missing (%) | 10.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.04064652681 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 770244 |
| Zeros (%) | 86.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.3240284646 |
|---|---|
| Coefficient of variation (CV) | 7.971861066 |
| Kurtosis | 894.8859324 |
| Mean | 0.04064652681 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 22.71869357 |
| Sum | 32282 |
| Variance | 0.1049944458 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 770244 | |
| 1 | 20157 | 2.3% |
| 2 | 2459 | 0.3% |
| 3 | 585 | 0.1% |
| 4 | 232 | < 0.1% |
| 5 | 117 | < 0.1% |
| 6 | 106 | < 0.1% |
| 8 | 68 | < 0.1% |
| 7 | 65 | < 0.1% |
| 9 | 34 | < 0.1% |
| Other values (11) | 146 | < 0.1% |
| (Missing) | 97008 | 10.9% |
| Value | Count | Frequency (%) |
| 0 | 770244 | |
| 1 | 20157 | 2.3% |
| 2 | 2459 | 0.3% |
| 3 | 585 | 0.1% |
| 4 | 232 | < 0.1% |
| 5 | 117 | < 0.1% |
| 6 | 106 | < 0.1% |
| 7 | 65 | < 0.1% |
| 8 | 68 | < 0.1% |
| 9 | 34 | < 0.1% |
| Value | Count | Frequency (%) |
| 23 | 3 | < 0.1% |
| 20 | 9 | < 0.1% |
| 18 | 6 | < 0.1% |
| 17 | 13 | |
| 16 | 3 | < 0.1% |
| 15 | 7 | < 0.1% |
| 14 | 16 | |
| 13 | 29 | |
| 12 | 22 | |
| 11 | 22 |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 93148 |
| Missing (%) | 10.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.798641227 |
| Minimum | 1 |
|---|---|
| Maximum | 8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 8 |
| Maximum | 8 |
| Range | 7 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.65671341 |
|---|---|
| Coefficient of variation (CV) | 0.949286884 |
| Kurtosis | -0.06997518803 |
| Mean | 2.798641227 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.256130407 |
| Sum | 2233520 |
| Variance | 7.058126142 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 460465 | |
| 3 | 178668 | 20.0% |
| 8 | 152476 | 17.1% |
| 2 | 4935 | 0.6% |
| 4 | 900 | 0.1% |
| 6 | 628 | 0.1% |
| 5 | 1 | < 0.1% |
| (Missing) | 93148 | 10.5% |
| Value | Count | Frequency (%) |
| 1 | 460465 | |
| 2 | 4935 | 0.6% |
| 3 | 178668 | 20.0% |
| 4 | 900 | 0.1% |
| 5 | 1 | < 0.1% |
| 6 | 628 | 0.1% |
| 8 | 152476 | 17.1% |
| Value | Count | Frequency (%) |
| 8 | 152476 | 17.1% |
| 6 | 628 | 0.1% |
| 5 | 1 | < 0.1% |
| 4 | 900 | 0.1% |
| 3 | 178668 | 20.0% |
| 2 | 4935 | 0.6% |
| 1 | 460465 |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 93148 |
| Missing (%) | 10.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.836532498 |
| Minimum | 1 |
|---|---|
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 9 |
| Range | 8 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.491578283 |
|---|---|
| Coefficient of variation (CV) | 0.5258456527 |
| Kurtosis | 4.075225324 |
| Mean | 2.836532498 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.40012902 |
| Sum | 2263760 |
| Variance | 2.224805773 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 3 | 275428 | |
| 1 | 162386 | |
| 2 | 157856 | |
| 4 | 120193 | |
| 5 | 65321 | 7.3% |
| 9 | 16889 | 1.9% |
| (Missing) | 93148 | 10.5% |
| Value | Count | Frequency (%) |
| 1 | 162386 | |
| 2 | 157856 | |
| 3 | 275428 | |
| 4 | 120193 | |
| 5 | 65321 | 7.3% |
| 9 | 16889 | 1.9% |
| Value | Count | Frequency (%) |
| 9 | 16889 | 1.9% |
| 5 | 65321 | 7.3% |
| 4 | 120193 | |
| 3 | 275428 | |
| 2 | 157856 | |
| 1 | 162386 |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 93148 |
| Missing (%) | 10.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.006466827 |
| Minimum | 1 |
|---|---|
| Maximum | 6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 5 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.255616012 |
|---|---|
| Coefficient of variation (CV) | 0.4176384054 |
| Kurtosis | -0.7025907215 |
| Mean | 3.006466827 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.1950516299 |
| Sum | 2399380 |
| Variance | 1.576571568 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 3 | 267178 | |
| 4 | 226782 | |
| 1 | 151667 | |
| 2 | 77576 | 8.7% |
| 5 | 65321 | 7.3% |
| 6 | 9549 | 1.1% |
| (Missing) | 93148 | 10.5% |
| Value | Count | Frequency (%) |
| 1 | 151667 | |
| 2 | 77576 | 8.7% |
| 3 | 267178 | |
| 4 | 226782 | |
| 5 | 65321 | 7.3% |
| 6 | 9549 | 1.1% |
| Value | Count | Frequency (%) |
| 6 | 9549 | 1.1% |
| 5 | 65321 | 7.3% |
| 4 | 226782 | |
| 3 | 267178 | |
| 2 | 77576 | 8.7% |
| 1 | 151667 |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 73969 |
| Missing (%) | 8.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.018452081 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.550311878 |
|---|---|
| Coefficient of variation (CV) | 0.5136115586 |
| Kurtosis | -1.089230428 |
| Mean | 3.018452081 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.1833736883 |
| Sum | 2466836 |
| Variance | 2.403466919 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 193738 | |
| 3 | 171127 | |
| 5 | 153535 | |
| 2 | 134665 | |
| 4 | 133324 | |
| 6 | 26625 | 3.0% |
| 7 | 4238 | 0.5% |
| (Missing) | 73969 | 8.3% |
| Value | Count | Frequency (%) |
| 1 | 193738 | |
| 2 | 134665 | |
| 3 | 171127 | |
| 4 | 133324 | |
| 5 | 153535 | |
| 6 | 26625 | 3.0% |
| 7 | 4238 | 0.5% |
| Value | Count | Frequency (%) |
| 7 | 4238 | 0.5% |
| 6 | 26625 | 3.0% |
| 5 | 153535 | |
| 4 | 133324 | |
| 3 | 171127 | |
| 2 | 134665 | |
| 1 | 193738 |
| Distinct | 32 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 93148 |
| Missing (%) | 10.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1993.277011 |
| Minimum | 1985 |
|---|---|
| Maximum | 2016 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 1985 |
|---|---|
| 5-th percentile | 1992 |
| Q1 | 1992 |
| median | 1992 |
| Q3 | 1993 |
| 95-th percentile | 2000 |
| Maximum | 2016 |
| Range | 31 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 3.332738997 |
|---|---|
| Coefficient of variation (CV) | 0.001671989883 |
| Kurtosis | 14.22772176 |
| Mean | 1993.277011 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.556034362 |
| Sum | 1590780564 |
| Variance | 11.10714922 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=32)
| Value | Count | Frequency (%) |
| 1992 | 568776 | |
| 1994 | 78835 | 8.8% |
| 1993 | 25488 | 2.9% |
| 1995 | 25464 | 2.9% |
| 1996 | 16611 | 1.9% |
| 1997 | 14464 | 1.6% |
| 2000 | 7382 | 0.8% |
| 2001 | 5877 | 0.7% |
| 1991 | 5811 | 0.7% |
| 2005 | 5553 | 0.6% |
| Other values (22) | 43812 | 4.9% |
| (Missing) | 93148 | 10.5% |
| Value | Count | Frequency (%) |
| 1985 | 116 | < 0.1% |
| 1986 | 125 | < 0.1% |
| 1987 | 470 | 0.1% |
| 1988 | 1027 | 0.1% |
| 1989 | 2046 | 0.2% |
| 1990 | 4408 | 0.5% |
| 1991 | 5811 | 0.7% |
| 1992 | 568776 | |
| 1993 | 25488 | 2.9% |
| 1994 | 78835 | 8.8% |
| Value | Count | Frequency (%) |
| 2016 | 128 | < 0.1% |
| 2015 | 717 | 0.1% |
| 2014 | 1001 | |
| 2013 | 1230 | |
| 2012 | 1861 | |
| 2011 | 1903 | |
| 2010 | 1410 | |
| 2009 | 2016 | |
| 2008 | 2197 | |
| 2007 | 2156 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 93148 |
| Missing (%) | 10.5% |
| Memory size | 53.1 MiB |
| W | |
|---|---|
| O |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 798073 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | W |
|---|---|
| 2nd row | W |
| 3rd row | W |
| 4th row | W |
| 5th row | W |
Common Values
| Value | Count | Frequency (%) |
| W | 629528 | |
| O | 168545 | 18.9% |
| (Missing) | 93148 | 10.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| w | 629528 | |
| o | 168545 | 21.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| W | 629528 | |
| O | 168545 | 21.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 798073 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| W | 629528 | |
| O | 168545 | 21.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 798073 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| W | 629528 | |
| O | 168545 | 21.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 798073 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| W | 629528 | |
| O | 168545 | 21.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 93148 |
| Missing (%) | 10.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.052836019 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 6950 |
| Zeros (%) | 0.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.949538668 |
|---|---|
| Coefficient of variation (CV) | 0.4810307299 |
| Kurtosis | -0.8440882651 |
| Mean | 4.052836019 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.4396769473 |
| Sum | 3234459 |
| Variance | 3.800701019 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 3 | 249719 | |
| 7 | 169318 | |
| 4 | 135973 | |
| 2 | 100376 | |
| 5 | 74346 | 8.3% |
| 1 | 43918 | 4.9% |
| 8 | 17473 | 2.0% |
| 0 | 6950 | 0.8% |
| (Missing) | 93148 | 10.5% |
| Value | Count | Frequency (%) |
| 0 | 6950 | 0.8% |
| 1 | 43918 | 4.9% |
| 2 | 100376 | |
| 3 | 249719 | |
| 4 | 135973 | |
| 5 | 74346 | 8.3% |
| 7 | 169318 | |
| 8 | 17473 | 2.0% |
| Value | Count | Frequency (%) |
| 8 | 17473 | 2.0% |
| 7 | 169318 | |
| 5 | 74346 | 8.3% |
| 4 | 135973 | |
| 3 | 249719 | |
| 2 | 100376 | |
| 1 | 43918 | 4.9% |
| 0 | 6950 | 0.8% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| ANZ_HAUSHALTE_AKTIV | ANZ_HH_TITEL | GEBAEUDETYP | KBA05_HERSTTEMP | KBA05_MODTEMP | KONSUMNAEHE | MIN_GEBAEUDEJAHR | OST_WEST_KZ | WOHNLAGE | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | 11.0 | 0.0 | 8.0 | 4.0 | 1.0 | 1.0 | 1992.0 | W | 4.0 |
| 2 | 10.0 | 0.0 | 1.0 | 4.0 | 4.0 | 5.0 | 1992.0 | W | 2.0 |
| 3 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | 4.0 | 1997.0 | W | 7.0 |
| 4 | 3.0 | 0.0 | 1.0 | 3.0 | 3.0 | 4.0 | 1992.0 | W | 3.0 |
| 5 | 5.0 | 0.0 | 1.0 | 4.0 | 3.0 | 5.0 | 1992.0 | W | 7.0 |
| 6 | 4.0 | 0.0 | 1.0 | 1.0 | 4.0 | 5.0 | 1992.0 | W | 5.0 |
| 7 | 6.0 | 0.0 | 8.0 | 3.0 | 3.0 | 3.0 | 1992.0 | W | 1.0 |
| 8 | 2.0 | 1.0 | 3.0 | 1.0 | 3.0 | 4.0 | 1992.0 | W | 1.0 |
| 9 | 9.0 | 0.0 | 3.0 | 2.0 | 4.0 | 4.0 | 1992.0 | W | 7.0 |
Last rows
| ANZ_HAUSHALTE_AKTIV | ANZ_HH_TITEL | GEBAEUDETYP | KBA05_HERSTTEMP | KBA05_MODTEMP | KONSUMNAEHE | MIN_GEBAEUDEJAHR | OST_WEST_KZ | WOHNLAGE | |
|---|---|---|---|---|---|---|---|---|---|
| 891211 | 6.0 | 0.0 | 1.0 | 4.0 | 4.0 | 2.0 | 1992.0 | W | 3.0 |
| 891212 | 13.0 | 0.0 | 3.0 | 4.0 | 4.0 | 1.0 | 1992.0 | W | 3.0 |
| 891213 | 4.0 | 0.0 | 3.0 | 1.0 | 1.0 | 4.0 | 1992.0 | W | 4.0 |
| 891214 | 6.0 | 0.0 | 1.0 | 2.0 | 1.0 | 2.0 | 1992.0 | W | 3.0 |
| 891215 | 8.0 | 0.0 | 1.0 | 4.0 | 3.0 | 2.0 | 1992.0 | W | 3.0 |
| 891216 | 15.0 | 0.0 | 8.0 | 2.0 | 1.0 | 3.0 | 1992.0 | W | 3.0 |
| 891217 | 11.0 | 0.0 | 8.0 | 4.0 | 4.0 | 1.0 | 1992.0 | W | 5.0 |
| 891218 | 3.0 | 0.0 | 8.0 | 1.0 | 3.0 | 6.0 | 1992.0 | W | 7.0 |
| 891219 | 7.0 | 0.0 | 8.0 | 3.0 | 3.0 | 2.0 | 1992.0 | W | 5.0 |
| 891220 | 10.0 | 0.0 | 8.0 | 3.0 | 4.0 | 3.0 | 1992.0 | W | 4.0 |
Most frequently occurring
| ANZ_HAUSHALTE_AKTIV | ANZ_HH_TITEL | GEBAEUDETYP | KBA05_HERSTTEMP | KBA05_MODTEMP | KONSUMNAEHE | MIN_GEBAEUDEJAHR | OST_WEST_KZ | WOHNLAGE | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2144 | 1.0 | 0.0 | 1.0 | 2.0 | 3.0 | 5.0 | 1992.0 | W | 7.0 | 1738 |
| 3316 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | 5.0 | 1992.0 | W | 7.0 | 1190 |
| 2436 | 1.0 | 0.0 | 1.0 | 2.0 | 4.0 | 5.0 | 1992.0 | W | 7.0 | 1163 |
| 3727 | 1.0 | 0.0 | 1.0 | 3.0 | 4.0 | 5.0 | 1992.0 | W | 7.0 | 1102 |
| 2141 | 1.0 | 0.0 | 1.0 | 2.0 | 3.0 | 5.0 | 1992.0 | W | 3.0 | 946 |
| 12162 | 2.0 | 0.0 | 1.0 | 2.0 | 3.0 | 5.0 | 1992.0 | W | 7.0 | 888 |
| 1120 | 1.0 | 0.0 | 1.0 | 1.0 | 3.0 | 5.0 | 1992.0 | W | 7.0 | 854 |
| 3313 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | 5.0 | 1992.0 | W | 3.0 | 840 |
| 3724 | 1.0 | 0.0 | 1.0 | 3.0 | 4.0 | 5.0 | 1992.0 | W | 3.0 | 795 |
| 3310 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | 5.0 | 1992.0 | O | 7.0 | 772 |